---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: mms-1b-all-sw-CV_Fleurs_AMMI_ALFFA-20hrs-v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mms-1b-all-sw-CV_Fleurs_AMMI_ALFFA-20hrs-v1

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the None dataset.
It achieves the following results on the evaluation set:
- Wer: 0.2229
- Cer: 0.0780

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Val Cer    | Val Wer    |
|:-------------:|:-----:|:-----:|:------:|:------:|
| 5.4496        | 1.0   | 756   | 0.1056 | 0.3067 |
| 0.595         | 2.0   | 1512  | 0.0857 | 0.2488 |
| 0.493         | 3.0   | 2268  | 0.0832 | 0.2436 |
| 0.4618        | 4.0   | 3024  | 0.0818 | 0.2403 |
| 0.4422        | 5.0   | 3780  | 0.0809 | 0.2366 |
| 0.4307        | 6.0   | 4536  | 0.0804 | 0.2359 |
| 0.4236        | 7.0   | 5292  | 0.0798 | 0.2351 |
| 0.4153        | 8.0   | 6048  | 0.0796 | 0.2348 |
| 0.4082        | 9.0   | 6804  | 0.0789 | 0.2329 |
| 0.4067        | 10.0  | 7560  | 0.0787 | 0.2339 |
| 0.4002        | 11.0  | 8316  | 0.0784 | 0.2329 |
| 0.3966        | 12.0  | 9072  | 0.0781 | 0.2328 |
| 0.3905        | 13.0  | 9828  | 0.0784 | 0.2327 |
| 0.3865        | 14.0  | 10584 | 0.0778 | 0.2318 |
| 0.3819        | 15.0  | 11340 | 0.0777 | 0.2320 |
| 0.3768        | 16.0  | 12096 | 0.0777 | 0.2317 |
| 0.3716        | 17.0  | 12852 | 0.0770 | 0.2299 |
| 0.3698        | 18.0  | 13608 | 0.0771 | 0.2284 |
| 0.3647        | 19.0  | 14364 | 0.0769 | 0.2279 |
| 0.3651        | 20.0  | 15120 | 0.0769 | 0.2297 |
| 0.361         | 21.0  | 15876 | 0.0769 | 0.2284 |
| 0.3559        | 22.0  | 16632 | 0.0781 | 0.2298 |
| 0.3576        | 23.0  | 17388 | 0.0793 | 0.2314 |
| 0.3486        | 24.0  | 18144 | 0.0761 | 0.2258 |
| 0.3486        | 25.0  | 18900 | 0.0787 | 0.2304 |
| 0.3455        | 26.0  | 19656 | 0.0769 | 0.2271 |
| 0.3451        | 27.0  | 20412 | 0.0767 | 0.2256 |
| 0.3409        | 28.0  | 21168 | 0.0767 | 0.2247 |
| 0.3394        | 29.0  | 21924 | 0.0802 | 0.2297 |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0